한국정보통신학회논문지 (Journal of the Korea Institute of Information and Communication Engineering)

  • 제22권6호
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  • Pages.867-873
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  • 2018
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  • 2234-4772(pISSN)
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  • 2288-4165(eISSN)
한국정보통신학회 (The Korea Institute of Information and Commucation Engineering)
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AWGN 환경에서 고주파 성분을 고려한 잡음 제거 알고리즘

Noise Removal Algorithm Considering High Frequency Components in AWGN Environments

  • Cheon, Bong-Won (Dept. of Control and Instrumentation Eng., Pukyong National University) ;
  • Kim, Nam-Ho (Dept. of Control and Instrumentation Eng., Pukyong National University)
  • 투고 : 2018.03.06
  • 심사 : 2018.03.31
  • 발행 : 2018.06.30
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초록

최근 영상처리 분야는 디지털 영상장치들의 수요가 증대되면서 관심이 높아지고 있다. 그러나 디지털 영상은 영상을 처리하는 과정에서 다양한 원인으로 발생하는 잡음에 의해 훼손된다. 일반적으로 디지털 영상장치는 AWGN 등의 잡음이 발생하여 성능과 신뢰도를 저하하며 이를 제거하기 위한 다양한 연구가 진행되고 있다. 따라서 본 논문에서는 영상의 고주파 성분을 보호하고 AWGN을 효과적으로 제거하는 알고리즘을 제안하였다. 제안한 알고리즘은 가우시안 마스크를 적용한 추정치와 국부 마스크의 분포에 따라 적용된 가중치를 가감하여 최종 출력을 구한다. 그리고 제안한 알고리즘의 성능 평가를 위해 기존의 방법들과 시뮬레이션하였으며, PSNR과 처리한 확대 영상을 통해 특성을 비교하였다.

Recently, interests in the field of image processing have increased with the increased demand for digital imaging devices. However, digital images are damaged by the noise generated by various causes during image processing. Generally in digital imaging devices, noise such as AWGN, etc. is generated and performance and reliability are deteriorated, and various researches are in progress to remove it. Accordingly in the present paper, an algorithm to protect the high frequency components of the images and to efficiently remove AWGN is proposed. The proposed algorithm calculates the final output by adjusting estimate values applied with Gaussian mask and weight values applied according to the local mask distribution. And for performance evaluation of the proposed algorithm, simulations were performed with the existing methods, and the characteristics were compared through PSNR and the processed, enlarged images.

키워드

참고문헌

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